Advanced Multispectral Computed Tomography (CT) Algorithms
Overview and Significance
Explosives represent a continuing threat to aviation security. Dual-energy X-ray computed tomography (DECT) attempts to use the additional energy dependent material information obtained by making multiple energy-selective measurements of attenuation. DECT methods estimate a small number of material-specific parameters at each image location and use them for material discrimination. A pair of commonly used parameters are the photoelectric and Compton coefficients, which are derived from a physics-based X-ray attenuation model. Conventional DECT methods are mostly targeted at medical applications, which have fewer artifacts. In the security application, many different materials may be scanned in various degrees of clutter and metal objects are common. In this application, image noise and metal artifacts are more severe and can lead to less reliable estimates of the photoelectric and Compton coefficients. In this project, we developed a new structure-preserving dual-energy (SPDE) method for the formation of enhanced photoelectric and Compton coefficient images. This framework greatly reduces the noise and artifacts present in photoelectric and Compton images compared to conventional DECT results. The improved images can lead to more accurate subsequent material and object identification, resulting in fewer false alarms, greater security and reduced passenger inconvenience.
In contrast to existing work, this project developed a new structure-preserving dual-energy inversion method (SPDE) for the formation of enhanced photoelectric and Compton coefficient images for security needs.Phase 2 Year 2 Annual Report
W. Clem Karl
Faculty and Staff Currently Involved in Project
Students Currently Involved in Project
- Limor Eger